None of us alone is as effective as all of us together
Notice bibliographique
Résumé
Cardiogenic shock (CS) complicating either acute myocardial infarction (AMI) or acute decompensated heart failure (ADHF) accounts for over 10% of cardiac intensive care unit (CICU) admissions and is a leading cause of in-hospital cardiovascular death—with mortality rates commonly exceeding 50% despite advances in pharmacologic and device-based therapies (with limited randomized controlled evidence for either).1,2 A volume–outcome relationship (with unfortunately highly variable inter-facility outcomes) has been observed in the management of many high-risk cardiovascular conditions to include CS—whereas patients and communities everywhere expect and deserve equity of care regardless of time of day or geography.3 Highly complex data [such as pulmonary artery catheter (PAC) derived haemodynamic parameters], technologies [to include short-term mechanical circulatory support (MCS) devices], and decision-making strategies (as required with CS) may especially benefit from multi-disciplinary multi-specialty team-based care—which already has much support for use in more stable and less time-sensitive cardiovascular conditions such as advanced coronary re-vascularization and trans-valvular therapies.4,5 Multiple contemporary single-centre non-randomized North American registry studies suggest that implementation of a standardized multi-disciplinary team-based approach to CS identification, triage, and management may help reduce high CS mortality rates within individual hospitals and even across larger regional healthcare networks.6–11 Several of these registries noted up to 50% survival improvements, which were sustained over multiple years, even with increasing shock patient volumes and expanding geographic catchment areas.6–11 Based in part on this registry data, the 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure assigned a 2a (level of evidence B) recommendation to the management of CS patients by a multi-disciplinary team experienced in shock and a 2b (level of evidence C) recommendation for consideration of transfer of refractory patients to centres offering temporary MCS.12 However, this shock team approach has not been widely adopted outside North America. In this issue of the European Heart Journal: Acute Cardiovascular Care, Hérion et al.13 report the results of a retrospective before-and-after single-centre cohort study conducted over a 156-month period examining the outcomes of 250 consecutive adult patients with refractory CS treated with short-term MCS with (n = 166; 2013–19) and without (n = 84; 2007–2013) implementation and utilization of a shock treatment algorithm and multi-disciplinary shock team for decision-making and management. The investigators noted a higher 1-year survival in the contemporary shock team vs. historical control (no shock team) groups (59% vs. 45%, P = 0.043), and after Cox regression analysis, the shock team intervention was independently associated with a significantly improved 1-year survival rate [hazard ratio (HR): 0.592, 95% confidence interval (CI): 0.398–0.0880, P = 0.010]. The authors concluded that a multi-disciplinary shock team–based decision-making strategy for short-term MCS device implantation is associated with better 1-year survival rates (Figure 1). Independent and sequential decision-making versus collaborative, multidisciplinary, team-based decision-making in the management of cardiogenic shock. Shock team composition—which is an evolving concept—presently differs among centres in different regions dependent in part upon individual hospital and healthcare system needs and resources.14 The authors’ shock team was comprised of a cardiothoracic surgeon, an interventional cardiologist, and a cardiac-specialized anesthetist–intensivist—with delayed involvement of a heart failure specialist. This team was not activated pre-hospital by Emergency Medical Services or by the Emergency Department or by the Cardiac Catheterization Laboratory—but only by the CICU physician. All shock team conversations were conducted in-person and included the three specialist physicians who were available on-site 24 h per day every day—which contrasts with other contemporary shock teams who employ virtual telephonic or video communication platforms to ensure continuous availability of multiple medical experts often across large geographic zones.6–9,11 Allowing multiple individuals—beyond just the cardiac intensivist—to initiate shock team consultation and immediate involvement of heart failure and transplant specialists could further improve outcomes and resource utilization and should be considered when implementing a shock team process of care in other locations. As did others before them, the authors highlighted the use of standardized shock protocols, haemodynamic profiling, a selective and tailored approach to MCS use, and the employment of a multi-disciplinary shock team. Reinforcing an often-cited benefit of multi-disciplinary shock team decision-making, the ‘time to decision’ decreased by over 50% in this registry following shock team implementation (2.0 h vs. 5.2 h), and for the AMI CS cohort, there was a shorter time delay to coronary re-vascularization—which are both tremendous accomplishments considering the known impact of even brief treatment delays on CS mortality.6,15 Importantly, the investigators collected and reported CICU, in-hospital, 30-day, 3-month, 6-month, and 1-year post-discharge outcomes data. The study population only included patients with refractory CS receiving short-term MCS—which represents only a small proportion of patients in whom shock teams are activated—and data regarding CS patients treated with only inotrope or vasopressor therapy or triaged to palliation were not reported. Devices used in this centre were IABP, Impella 2.5, CP and 5.0, VA-ECMO, or combinations of these devices together. This may not reflect MCS device options available or in-use at all medical centres. Furthermore, the impact of one device over another (an area of tremendous interest) in this study is unclear and emphasizes the notion that MCS is just one component of shock team management. A weakness of the study is the small number of patients in both arms as well as the 12-year period over which the study was conducted, during which time there have been many potentially confounding clinical innovations that may have positively impacted shock care and shock survival (well beyond just the implementation of a shock team and shock protocol care strategy). Another limitation is the study’s significant selection bias. As only patients with refractory CS receiving short-term MCS were included in this analysis, there is a strong likelihood of having excluded patients who were not candidates for MCS (due to vascular access limitations, perceived futility, team discretion, or other factors) and/or patients for whom shock team consultation was not solicited or provided. Multiple different interventions were also employed by the study team during the span of this 12-year care transformation: formation of a multi-disciplinary CS team, development and implementation of a standardized protocol, increased utilization of PACs, and changes in MCS utilization and type. Parsing out the individual impact of each of these may be impossible. The promise of shock protocols, shock teams, and shock networks is that they may be able to better standardize and expedite CS diagnosis and treatment and minimize unwanted heterogeneities of care and resultant clinical outcomes both within and between medical facilities.10 Shock teams may be employed anywhere, at facilities large and small, ideally in a hub-and-spoke configuration, and should not be defined by the use (or not) of MCS, but rather by rapid, collaborative decision-making and intervention, and repeated data-driven feedback loops. This work also highlights the importance of multiple future lines of investigation in CS care: haemodynamic profiling, shock protocols, shock teams, shock centres, the role of MCS devices, and longer-term post-discharge outcomes for CS survivors. Charles Darwin purportedly stated, ‘in the long history of humankind, those who learned to collaborate most effectively have prevailed’. So, it is encouraging to see further investigations on additional continents outside North America supporting the role of multi-disciplinary team-based collaborative care for the sickest of our cardiovascular patients. None declared. No new data were generated or analysed in support of this research.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».